Learning Efficient Abstract Planning Models that Choose What to Predict

Learning Efficient Abstract Planning Models that Choose What to Predict

16 August 2022

Willie McClinton

Tomás Lozano-Pérez

Papers citing "Learning Efficient Abstract Planning Models that Choose What to Predict"

6 / 6 papers shown

Title
Bilevel Learning for Bilevel Planning Bowen Li Tom Silver Sebastian A. Scherer Alexander G. Gray 61 0 0 12 Feb 2025
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints Nishanth Kumar F. Ramos Dieter Fox Caelan Reed Garrett Tomás Lozano-Pérez Leslie Pack Kaelbling Caelan Reed Garrett LRM LM&Ro 61 3 0 13 Nov 2024
Automated Planning Domain Inference for Task and Motion Planning Jinbang Huang Allen Tao Rozilyn Marco Miroslav Bogdanovic Jonathan Kelly Florian Shkurti 24 1 0 21 Oct 2024
Discovering State and Action Abstractions for Generalized Task and Motion Planning Aidan Curtis Tom Silver J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 33 27 0 23 Sep 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments S. Srivastava Chengshu Li Michael Lingelbach Roberto Martín-Martín Fei Xia ... C. Karen Liu Silvio Savarese H. Gweon Jiajun Wu Li Fei-Fei LM&Ro 133 152 0 06 Aug 2021
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 438 0 01 Dec 2016